How to implement long-term AI agent memory in AlloyDB and Memorystore for Valkey

Enterprise AI agents need persistent memory to execute complex, multi-day workflows and long-horizon tasks. In this blog, we examine how a 2-tier memory architecture using Memorystore for Valkey for short-term buffer memory and AlloyDB AI for long-term persistent memory can help reduce token spend by up to 70%, while maintaining critical data and enterprise guardrails. Imagine building a personalized travel agent designed to help users book vacations.